Parallel iOS Tests VS SnapshotTesting

Compare Parallel iOS Tests vs SnapshotTesting and see what are their differences.

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Parallel iOS Tests SnapshotTesting
- 9
1 4,002
- 0.3%
0.0 7.3
- about 1 month ago
Ruby Swift
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Parallel iOS Tests

Posts with mentions or reviews of Parallel iOS Tests. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Parallel iOS Tests yet.
Tracking mentions began in Dec 2020.

SnapshotTesting

Posts with mentions or reviews of SnapshotTesting. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-08-12.

What are some alternatives?

When comparing Parallel iOS Tests and SnapshotTesting you can also consider the following projects:

trainer - Convert xcodebuild plist and xcresult files to JUnit reports

ios-snapshot-test-case - Snapshot view unit tests for iOS

AcceptanceMark - Tool for generating Acceptance Tests in Xcode, inspired by Fitnesse

SnappyTestCase - iOS Simulator type agnostic snapshot testing, built on top of the FBSnapshotTestCase.

Cribble - Swifty tool for visual testing iPhone and iPad apps. Every pixel counts.

DVR - Network testing for Swift

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Sevalla is the PaaS you have been looking for! Advanced deployment pipelines, usage-based pricing, preview apps, templates, human support by developers, and much more!
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featured
InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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